{"id":"W4256278512","doi":"10.1002/div.6659","title":"Ecolab, Inc.","year":2008,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Hospitality; Commerce; Latin Americans; Marketing; Geography; Tourism; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012437,0.0001731246,0.0001932891,0.0001337324,0.0001451338,0.00001017313,0.0002311597,0.0001415916,0.001720601],"category_scores_gemma":[0.00008109726,0.000187864,0.00006674586,0.0002468684,0.00005872589,0.0001814816,0.00006540568,0.0002476599,0.0007111527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653411,"about_ca_system_score_gemma":0.0000590511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007792775,"about_ca_topic_score_gemma":0.00003627276,"domain_scores_codex":[0.9989315,0.00003497499,0.0002325414,0.0001795223,0.0001695386,0.0004519316],"domain_scores_gemma":[0.999512,0.00005951673,0.00002568985,0.0002380802,0.00002319776,0.0001415315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006875846,0.0001917054,0.05757562,0.0001185505,0.0005703148,0.001008089,0.00136486,0.2966209,0.001803846,0.001959207,0.6297619,0.008956227],"study_design_scores_gemma":[0.001788514,0.0001389648,0.04542804,0.00001433689,0.00006552889,0.0000967477,0.0004802628,0.009836202,0.00320241,0.0004495948,0.9375791,0.0009203171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877417,0.0002354502,0.0002586378,0.000387265,0.002332249,0.0002184412,0.000009929463,0.0005229547,0.008293334],"genre_scores_gemma":[0.997906,0.0001818191,0.0001275113,0.0001112324,0.0002501383,0.00003225435,0.0000140781,0.00004199078,0.001334967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078172,"threshold_uncertainty_score":0.9991919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916762766202835,"score_gpt":0.1896939813979305,"score_spread":0.1705263537359021,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}